NOMYO AI is building the infrastructure layer for real intelligence – systems that reason, plan, and act. We are seed-stage, revenue-positive, and ready to scale.
The Opportunity
GenAI’s first wave is losing momentum. Transformer-only models hit diminishing returns on both adoption and monetization. The market needs a different architecture.
| Metric | Value |
|---|---|
| GenAI TAM (economic value) | $3.5 trillion (McKinsey 2025) |
| GenAI spend (2025) | $400 billion (Deloitte) |
| Knowledge workers globally | 1 billion (Gartner 2025) |
| Year 5 ARR target | $75 million |
| Long-term upside | $6 billion ARR at 3M monthly users |
The Problem: An Industry Trade-Off
Today’s AI forces a choice between adoption and monetization – and you can only pick one.
| High Adoption / Low Monetization | High Monetization / Low Adoption | |
|---|---|---|
| Consumer AI | Individuals automate low-value tasks. Value capped at efficiency gains. | |
| Enterprise AI | Only organizations with pre-engineered systems extract real value. Most struggle with real-world complexity. |
The truth: When revenue is the goal, adoption and monetization don’t sum – they multiply.
ARR ~ MAU x ARPU
Our insight: NOMYO turns this trade-off into a value ladder. Users start with high-adoption, low-cost interactions and are pulled toward high-value, high-monetization workflows over time.
The math: 3% of Anthropic’s MAU x 3% of Symphony’s ARPU = 70% of OpenAI’s revenue.
The Solution: Biology-Inspired AGI
NOMYO’s platform doesn’t predict next tokens. It builds persistent models of users’ worlds, learns from every interaction, and orchestrates specialized agents toward real outcomes.
Three pillars:
- skandha – AGI platform with dynamic knowledge graphs, multi-level agent hierarchy, and embedding-enabled graph databases
- nomyo SDK – End-to-end encrypted inference client with AES-256-GCM + RSA-4096 OAEP security
- nomyo-router – Open source inference router with semantic caching and model deployment-aware routing
Real intelligence doesn’t chat. It builds.
Revenue Model: Three Tiers, One Ladder
Every subscription tier is designed to upsell to the next. Users enter at Basic and graduate to Pro, then Enterprise.
| Basic | Pro | Enterprise | |
|---|---|---|---|
| Monthly fee | $20 | $125 | $200 / user |
| Core product | Limited | Full | Full |
| Team features | – | – | Shared workflows, knowledge graph |
| Governance | Individual | Individual | Org-wide isolation |
| Admin & support | – | Standard | SSO, audit, RBAC, SLA |
| Add-ons | – | – | Encrypted inference (+25%), consulting |
Traction
- Live MVP – platform is operational and in customer hands
- Revenue positive – bootstrapped, sustainable, no burn
- Paying customers already on board
- Open source contributions (nomyo-router)
- Defensible business model built on biology-inspired architecture
The Moat
Incumbents are locked in. Their sunk costs in Transformer-only stacks – server farms, personnel, branding – make it nearly impossible to pivot. They can’t declare their core approach wrong.
Others are coming. This is an arms race, not winner-take-all. But we are years ahead in the areas that matter: persistent memory, goal-oriented orchestration, dynamic knowledge graphs, and reinforcement learning at the system level.
The differences are qualitative, not quantitative. And they compound.
- Persistent Affordance Graph – builds a living model of each user’s world
- Bio-inspired architecture – catabolic (active) and anabolic (dreaming/consolidating) modes
- Combinatorial bandit RL – explores workflow space, exploits known value paths
- e2ee inference – GDPR-compliant, enables self-hosting and distributed compute
- Encrypted inference reduces dependency on expensive external model calls
The Team
alpha nerd – Co-Founder
C-level executive with 30+ years in software development, architecture, and martech. Serial entrepreneur with two successful exits. Deep expertise in EU data privacy and GDPR compliance.
Holly Wood – Co-Founder
10 years leading AI and computational neuroscience R&D. Princeton undergraduate, UC Berkeley Law. US patent holder for algorithmic unsupervised learning. Guest lecturer at UC Berkeley’s Sutardja Center and Stanford Neurodiversity Project.
Contact
For investment inquiries, please reach out to us directly.
Contact Us
Email: ichi@nomyo.ai
Phone: +1 (415) 289-9022
Address: 2810 N Church St, PMB 947236, Wilmington, DE 19802-4447, USA